SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

Showing 881890 of 1576 papers

TitleStatusHype
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds0
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds0
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsCode1
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object DetectionCode2
Bridged Transformer for Vision and Point Cloud 3D Object DetectionCode0
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud SequenceCode1
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified